Update import statements in GitbookLoader, JsonToolkit, CSVAgent, UnstructuredHTMLLoader, IMSDbLoader, IFixitLoader, BSHTMLLoader, ReadTheDocsLoader, OpenAPIToolkit, Qdrant, EverNoteLoader, CoNLLULoader, and AirbyteJSONLoader components

src/backend/langflow/components/agents/CSVAgent.py

@@ -1,6 +1,6 @@
-
 from langflow import CustomComponent
-from langchain.field_typing import BaseLanguageModel, AgentExecutor
+from langflow.field_typing import BaseLanguageModel, AgentExecutor
+
 
 class CSVAgentComponent(CustomComponent):
     display_name = "CSVAgent"

src/backend/langflow/components/documentloaders/AZLyricsLoader.py

@@ -1,8 +1,8 @@
-
 from langflow import CustomComponent
-from langchain.field_typing import Document
+from langflow.field_typing import Document
 from typing import Optional, Dict
 
+
 class AZLyricsLoaderComponent(CustomComponent):
     display_name = "AZLyricsLoader"
     description = "Load `AZLyrics` webpages."
@@ -10,18 +10,8 @@ class AZLyricsLoaderComponent(CustomComponent):
 
     def build_config(self):
         return {
-            "metadata": {
+            "metadata": {"display_name": "Metadata", "type": "dict", "default": {}, "show": True},
-                "display_name": "Metadata",
+            "web_path": {"display_name": "Web Page", "type": "str", "required": True, "show": True},
-                "type": "dict",
-                "default": {},
-                "show": True
-            },
-            "web_path": {
-                "display_name": "Web Page",
-                "type": "str",
-                "required": True,
-                "show": True
-            },
         }
 
     def build(self, metadata: Optional[Dict] = None, web_path: str = "") -> Document:

src/backend/langflow/components/documentloaders/AirbyteJSONLoader.py

@@ -1,13 +1,14 @@
-
 from langflow import CustomComponent
-from langchain.field_typing import Document
+from langflow.field_typing import Document
 from typing import Optional, Dict
 
 
 class AirbyteJSONLoaderComponent(CustomComponent):
     display_name = "AirbyteJSONLoader"
     description = "Load local `Airbyte` json files."
-    documentation = "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json"
+    documentation = (
+        "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json"
+    )
 
     def build_config(self):
         return {

src/backend/langflow/components/documentloaders/BSHTMLLoader.py

@@ -1,8 +1,8 @@
-
 from langflow import CustomComponent
-from langchain.field_typing import Document
+from langflow.field_typing import Document
 from typing import Optional, Dict
 
+
 class BSHTMLLoaderComponent(CustomComponent):
     display_name = "BSHTMLLoader"
     description = "Load `HTML` files and parse them with `beautiful soup`."

src/backend/langflow/components/documentloaders/CoNLLULoader.py

@@ -1,8 +1,7 @@
-
 from langflow import CustomComponent
 from langchain.documents import Document
 from typing import Optional, Dict
-from langchain.field_typing import TemplateField
+from langflow.field_typing import TemplateField
 
 
 class CoNLLULoaderComponent(CustomComponent):
@@ -17,7 +16,7 @@ class CoNLLULoaderComponent(CustomComponent):
                 required=True,
                 type="file",
                 file_types=["conllu"],
-                suffixes=['.conllu'],
+                suffixes=[".conllu"],
             ),
             "metadata": TemplateField(
                 display_name="Metadata",

src/backend/langflow/components/documentloaders/EverNoteLoader.py

@@ -1,13 +1,13 @@
-
 from langflow import CustomComponent
-from langchain.field_typing import Document
+from langflow.field_typing import Document
 from typing import Optional, Dict
 
+
 class EverNoteLoaderComponent(CustomComponent):
     display_name = "EverNoteLoader"
     description = "Load from `EverNote`."
     documentation = "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/evernote"
-    
+
     def build_config(self):
         return {
             "file_path": {

src/backend/langflow/components/documentloaders/GitbookLoader.py

@@ -1,6 +1,5 @@
-
 from langflow import CustomComponent
-from langchain.field_typing import Document
+from langflow.field_typing import Document
 from typing import Optional, Dict
 
 

src/backend/langflow/components/documentloaders/IFixitLoader.py

@@ -1,8 +1,8 @@
-
 from langflow import CustomComponent
-from langchain.field_typing import Document
+from langflow.field_typing import Document
 from typing import Optional, Dict
 
+
 class IFixitLoaderComponent(CustomComponent):
     display_name = "IFixitLoader"
     description = "Load `iFixit` repair guides, device wikis and answers."

src/backend/langflow/components/documentloaders/IMSDbLoader.py

@@ -1,8 +1,8 @@
-
 from langflow import CustomComponent
-from langchain.field_typing import Document
+from langflow.field_typing import Document
 from typing import Dict, Optional
 
+
 class IMSDbLoaderComponent(CustomComponent):
     display_name = "IMSDbLoader"
     description = "Load `IMSDb` webpages."

src/backend/langflow/components/documentloaders/ReadTheDocsLoader.py

@@ -1,8 +1,8 @@
-
 from langflow import CustomComponent
-from langchain.field_typing import Document
+from langflow.field_typing import Document
 from typing import Dict, Optional
 
+
 class ReadTheDocsLoaderComponent(CustomComponent):
     display_name = "ReadTheDocsLoader"
     description = "Load `ReadTheDocs` documentation directory."

src/backend/langflow/components/documentloaders/UnstructuredHTMLLoader.py

@@ -1,6 +1,5 @@
-
 from langchain import CustomComponent
-from langchain.field_typing import Document
+from langflow.field_typing import Document
 from typing import Optional, Dict
 
 

src/backend/langflow/components/documentloaders/UnstructuredWordDocumentLoader.py

@@ -1,13 +1,14 @@
-
 from langchain import CustomComponent
-from langchain.field_typing import Document
+from langflow.field_typing import Document
 from typing import Optional, Dict
 
 
 class UnstructuredWordDocumentLoaderComponent(CustomComponent):
     display_name = "UnstructuredWordDocumentLoader"
     description = "Load `Microsoft Word` file using `Unstructured`."
-    documentation = "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_word"
+    documentation = (
+        "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_word"
+    )
 
     def build_config(self):
         return {
@@ -17,11 +18,7 @@ class UnstructuredWordDocumentLoaderComponent(CustomComponent):
                 "type": "file",
                 "suffixes": [".docx", ".doc"],
             },
-            "metadata": {
+            "metadata": {"display_name": "Metadata", "required": False, "type": "dict"},
-                "display_name": "Metadata",
-                "required": False,
-                "type": "dict"
-            },
         }
 
     def build(self, file_path: str, metadata: Optional[Dict] = None) -> Document:

src/backend/langflow/components/embeddings/HuggingFaceEmbeddings.py

@@ -1,12 +1,14 @@
-
 from langflow import CustomComponent
 from typing import Optional, Any, Dict
-from langchain.field_typing import Embeddings
+from langflow.field_typing import Embeddings
+
 
 class HuggingFaceEmbeddingsComponent(CustomComponent):
     display_name = "HuggingFaceEmbeddings"
     description = "HuggingFace sentence_transformers embedding models."
-    documentation = "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/sentence_transformers"
+    documentation = (
+        "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/sentence_transformers"
+    )
 
     def build_config(self):
         return {

src/backend/langflow/components/llms/Anthropic.py

@@ -1,8 +1,8 @@
-
 from langflow import CustomComponent
 from pydantic import SecretStr
 from typing import Optional, Dict, Any
-from langchain.field_typing import BaseLanguageModel
+from langflow.field_typing import BaseLanguageModel
+
 
 class AnthropicComponent(CustomComponent):
     display_name = "Anthropic"
@@ -40,7 +40,13 @@ class AnthropicComponent(CustomComponent):
         # Here we are returning a placeholder class as the Anthropic class is not defined
         # This is to comply with the type hints required by the CustomComponent
         class Anthropic(BaseLanguageModel):
-            def __init__(self, api_key: Optional[SecretStr], api_url: Optional[str], model_kwargs: Optional[Dict[str, Any]] = None, temperature: Optional[float] = None):
+            def __init__(
+                self,
+                api_key: Optional[SecretStr],
+                api_url: Optional[str],
+                model_kwargs: Optional[Dict[str, Any]] = None,
+                temperature: Optional[float] = None,
+            ):
                 # Initialize Anthropic model with the provided arguments
                 super().__init__()
                 self.api_key = api_key

src/backend/langflow/components/llms/ChatOpenAI.py

@@ -1,8 +1,8 @@
-
 from langflow import CustomComponent
 from langchain.llms import BaseLLM
 from typing import Optional, Dict, Union, Any
-from langchain.field_typing import BaseLanguageModel
+from langflow.field_typing import BaseLanguageModel
+
 
 class ChatOpenAIComponent(CustomComponent):
     display_name = "ChatOpenAI"
@@ -69,7 +69,6 @@ class ChatOpenAIComponent(CustomComponent):
         openai_api_key: Optional[str] = None,
         temperature: float = 0.7,
     ) -> Union[BaseLanguageModel, BaseLLM]:
-        
         # Assuming there is a class `ChatOpenAI` that takes these parameters
         # The `ChatOpenAI` class must be imported or defined elsewhere in the actual implementation
         return ChatOpenAI(

src/backend/langflow/components/toolkits/JsonToolkit.py

@@ -1,6 +1,6 @@
-
 from langflow import CustomComponent
-from langchain.field_typing import JsonSpec, Tool
+from langflow.field_typing import JsonSpec, Tool
+
 
 class JsonToolkitComponent(CustomComponent):
     display_name = "JsonToolkit"

src/backend/langflow/components/toolkits/OpenAPIToolkit.py

@@ -1,8 +1,8 @@
-
 from langflow import CustomComponent
-from langchain.field_typing import AgentExecutor, TextRequestsWrapper
+from langflow.field_typing import AgentExecutor, TextRequestsWrapper
 from typing import Callable
 
+
 class OpenAPIToolkitComponent(CustomComponent):
     display_name = "OpenAPIToolkit"
     description = "Toolkit for interacting with an OpenAPI API."

src/backend/langflow/components/vectorstores/Pinecone.py

@@ -1,13 +1,13 @@
-
 from langflow import CustomComponent
 from typing import Optional, List
 from langchain.vectorstores import Pinecone
-from langchain.field_typing import (
+from langflow.field_typing import (
     Document,
     Embeddings,
     NestedDict,
 )
 
+
 class PineconeComponent(CustomComponent):
     display_name = "Pinecone"
     description = "Construct Pinecone wrapper from raw documents."
@@ -20,7 +20,7 @@ class PineconeComponent(CustomComponent):
             "namespace": {"display_name": "Namespace"},
             "pinecone_api_key": {"display_name": "Pinecone API Key", "default": ""},
             "pinecone_env": {"display_name": "Pinecone Environment", "default": ""},
-            "search_kwargs": {"display_name": "Search Kwargs", "default": '{}'},
+            "search_kwargs": {"display_name": "Search Kwargs", "default": "{}"},
         }
 
     def build(

src/backend/langflow/components/vectorstores/Qdrant.py

@@ -1,9 +1,9 @@
-
 from langflow import CustomComponent
-from langchain.vectorstores import Qdrant
+from langchain_community.vectorstores.qdrant import Qdrant
 from typing import Optional, List
 from langflow.field_typing import Document, Embeddings, NestedDict
 
+
 class QdrantComponent(CustomComponent):
     display_name = "Qdrant"
     description = "Construct Qdrant wrapper from a list of texts."

src/backend/langflow/components/vectorstores/SupabaseVectorStore.py

@@ -1,13 +1,13 @@
-
 from langflow import CustomComponent
 from typing import Optional, List
 from langchain.vectorstores import SupabaseVectorStore
-from langchain.field_typing import (
+from langflow.field_typing import (
     Document,
     Embeddings,
     NestedDict,
 )
 
+
 class SupabaseComponent(CustomComponent):
     display_name = "Supabase"
     description = "Return VectorStore initialized from texts and embeddings."
@@ -27,11 +27,11 @@ class SupabaseComponent(CustomComponent):
         self,
         embedding: Embeddings,
         documents: Optional[List[Document]] = None,
-        query_name: str = '',
+        query_name: str = "",
         search_kwargs: NestedDict = {},
-        supabase_service_key: str = '',
+        supabase_service_key: str = "",
-        supabase_url: str = '',
+        supabase_url: str = "",
-        table_name: str = '',
+        table_name: str = "",
     ) -> SupabaseVectorStore:
         return SupabaseVectorStore(
             documents=documents,